Triple

T22016427
Position Surface form Disambiguated ID Type / Status
Subject Dąbrowa Tarnowska E543723 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object KDA
KDA is the Polish vehicle registration code assigned to cars registered in the town of Dąbrowa Tarnowska and its surrounding area.
 E1514640 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: KDA | Statement: [Dąbrowa Tarnowska, vehicleRegistrationCode, KDA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KDA
Context triple: [Dąbrowa Tarnowska, vehicleRegistrationCode, KDA]
  • A. KDA
    KDA is a British electronic music production project best known for its club-ready house tracks and high-profile collaborations with pop and dance artists.
  • B. KDA
    KDA is a trade organization representing Kentucky’s distilled spirits industry, including bourbon and other whiskey producers.
  • C. KDA
    KDA is the abbreviation for the Kansas Department of Administration, a state agency responsible for providing administrative and support services to Kansas government operations.
  • D. KAD
    KAD is the station code for Kandersteg railway station in Switzerland.
  • E. KAD
    KAD is the IATA airport code for Kaduna International Airport in Kaduna, Nigeria.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: KDA
Triple: [Dąbrowa Tarnowska, vehicleRegistrationCode, KDA]
Generated description
KDA is the Polish vehicle registration code assigned to cars registered in the town of Dąbrowa Tarnowska and its surrounding area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KDA
Target entity description: KDA is the Polish vehicle registration code assigned to cars registered in the town of Dąbrowa Tarnowska and its surrounding area.
  • A. KDA
    KDA is a British electronic music production project best known for its club-ready house tracks and high-profile collaborations with pop and dance artists.
  • B. KDA
    KDA is a trade organization representing Kentucky’s distilled spirits industry, including bourbon and other whiskey producers.
  • C. KDA
    KDA is the abbreviation for the Kansas Department of Administration, a state agency responsible for providing administrative and support services to Kansas government operations.
  • D. KAD
    KAD is the station code for Kandersteg railway station in Switzerland.
  • E. KAD
    KAD is the IATA airport code for Kaduna International Airport in Kaduna, Nigeria.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e11e2e8ea4819084210fe06d3a1b8d completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127a8a1388190b9e0c1795fe1183a completed April 28, 2026, 9:33 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a737d8508819087e53c19ff49af71 completed May 18, 2026, 2:03 a.m.
NEDg Description generation batch_6a0a74e81da881908c73d864258dcdd5 completed May 18, 2026, 2:09 a.m.
NED2 Entity disambiguation (via description) batch_6a0a75cbb2408190b058713432b048a2 completed May 18, 2026, 2:13 a.m.
Created at: April 16, 2026, 8:23 p.m.